Long-term evolution of the spectral content of continuous seismo-volcanic signals from a network-based analysis

Autor: Emmanuel Caballero, Nikolai Shapiro, Cyril Journeau, Léonard Seydoux, Jean Soubestre, Andrés Barajas

Volcanoes are multi-physics systems where different phenomena interact, such as magma transport, degassing, crystallization, and pressure-induced faulting. These interactions create a series of seismic signals, among which we have volcano-tectonic ea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d1934709c4c7a4242999878ba3be348
https://doi.org/10.5194/egusphere-egu23-2724

Non-stationarity of volcanic tremor signals revealed by blind source separation and manifold learning

Autor: René Steinmann, Léonard Seydoux, Michel Campillo, Nikolai Shapiro, Cyril Journeau, Nataliya Galina

Volcanic tremors are one of many seismic signals recorded on volcanoes and are associated with different pre- and co-eruptive processes. Therefore, they are widely used in volcano monitoring. The properties of the tremor signals such as duration, spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91150f4fc910911ff02af57073b6bc11
https://doi.org/10.5194/egusphere-egu23-6328

Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring

Autor: Ludovic Moreau, Léonard Seydoux, Jérôme Weiss, Michel Campillo

Publikováno v: The Cryosphere
The Cryosphere, 2023, 17 (3), pp.1327-1341. ⟨10.5194/tc-17-1327-2023⟩

In the perspective of upcoming seasonally ice-free Arctic, understanding the dynamics of sea ice in the changing climate is a major challenge in oceanography and climatology. In particular, the new generation of sea ice models will require fine param

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70c307776bbeba49f7a0580499a037e9
https://hal.science/hal-04041306

Depth Migration of Seismovolcanic Tremor Sources Below the Klyuchevskoy Volcanic Group (Kamchatka) Determined From a Network‐Based Analysis

Autor: J. de Rosny, Jean Soubestre, Evgenii Gordeev, D. V. Droznin, N. M. Shapiro, Léonard Seydoux, Sergey Senyukov, S. Ya. Droznina

Publikováno v: Geophysical Research Letters
Geophysical Research Letters, American Geophysical Union, 2019, ⟨10.1029/2019GL083465⟩
Geophysical Research Letters, 2019, ⟨10.1029/2019GL083465⟩

International audience; We present a method for automatic location of dominant sources of seismovolcanic tremor in 3-D, based on the spatial coherence of the continuously recorded wavefield at a seismic network. We analyze 4.5 years of records from t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffea33a2bf76399e437948564c275199
https://doi.org/10.1029/2019gl083465

Imaging seismovolcanic tremor sources distribution with seismic network-based methods reveals fluid pressure pathways within Klyuchevskoy Volcanic Group magmatic system

Autor: Cyril Journeau, Danila Chebrov, Jean Soubestre, Claude Jaupart, Ivan Koulakov, Gaspard Farge, Ilyas Abkadyrov, Francis Tong, Léonard Seydoux, Andrei Jakovlev, Birger Luehr, Evgeny Gordeev, Nikolai M. Shapiro, Christoph Sens-Schönfelder

The Klyuchevskoy Volcanic Group (KVG) located in Kamchatka, Russia is one of the World’s most active clusters of subduction volcanoes. In order to investigate its structure and very intense seismovolcanic activity, an international collaboration de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f3ddc00e17c816773519535ec1c572c
https://doi.org/10.5194/egusphere-egu21-7871